import re
from copy import deepcopy
from itertools import product
from pathlib import Path
from typing import Self
from laurel.scenario_framework.build import ScenarioBuilder
from laurel.scenario_framework.read import ScenarioReader
[docs]
class BatteryPowerScenarioBuilder(ScenarioBuilder):
"""Create scenarios which scan across battery sizes and charging powers."""
partition_level_names = (
"run_name",
"batt_kwh",
"depot_kw",
"is_mandate_active",
"task_id",
)
def _build_param_dicts(self) -> tuple[list[Path], list[dict]]:
paths, scens = [], []
batt_levels = self.scen_params["battery_capacities_kwh"]
dkw_levels = self.scen_params["charge_speed_kw_depot"]
mand_levels = self.scen_params["is_mandate_active"]
for batt, dkw, mand in product(batt_levels, dkw_levels, mand_levels):
pth = Path(
self.display_name, f"batt_{batt}", f"depot_{dkw}", f"mand_{mand}"
)
cur_vehs = deepcopy(self.params["vehicles"])
cur_vehs["battery_capacity_kwh"] = batt
cur_modes = deepcopy(self.params["charging_modes"])
cur_modes["depot"]["max_power_kw"] = dkw
cur_samp = deepcopy(self.params["build_sampling_totals"])
cur_samp["filter_totals"]["filters"]["is_mandate_active"]["value_isin"] = [
mand
]
scn = {
"vehicles": cur_vehs,
"charging_modes": cur_modes,
"build_sampling_totals": cur_samp,
}
paths.append(pth)
scens.append(scn)
return (paths, scens)
[docs]
class BatteryPowerScenarioReader(ScenarioReader):
"""Read scenarios which scan across battery sizes and management strategies."""
builder = BatteryPowerScenarioBuilder
metadata_level_names = ("batt_kwh", "depot_kw", "is_mandate_active")
[docs]
def name_scenario(self: Self, path: Path) -> str:
meta = self.get_metadata_values(path=path)
batt_kwh = re.search(r"(?<=batt_)(\d+)", meta["batt_kwh"]).group() + "kWh"
dkw = re.search(r"(?<=depot_)(\d+)", meta["depot_kw"]).group() + "kW"
mand = (
"mandate_" + re.search(r"(?<=mand_)(.+)", meta["is_mandate_active"]).group()
)
return self.concat_name_components(batt_kwh, dkw, mand, sep=",\n")